{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/shelley/Dropbox/Projects/Senegal/Senegal Nigeria Education and Leaders/Senegal Replication Files/do files/0_summary statistics.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 6 Jul 2023, 12:28:05
{txt}
{com}.         do "do files/summary_statistics" /* A.3 */
{txt}
{com}. 
. 
. est clear
{res}{txt}
{com}. 
. gen post_dem = post1 if W == 0
{txt}(2,400 missing values generated)

{com}. gen post_nondem = post1 if W == 1
{txt}(3,547 missing values generated)

{com}. 
. global model school4 instrument post1 treat2_10_inc post_nondem post_dem
{txt}
{com}. 
. label var post1 "Post"
{txt}
{com}. label var treat2_10_inc "Intensity"
{txt}
{com}. label var post_nondem "Treated population (HE = 1)"
{txt}
{com}. label var post_dem "Treated population (HE = 0)"
{txt}
{com}. 
. estpost summ $model if birthyear >= 1970 & birthyear <= 1997

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:school4}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3348}}}{space 1}{space 1}{ralign 9:{res:{sf:     3348}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.054659}}}{space 1}{space 1}{ralign 9:{res:{sf: .8458313}}}{space 1}{space 1}{ralign 9:{res:{sf: .9196909}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        2}}}{space 1}{space 1}{ralign 9:{res:{sf:     3531}}}{space 1}
{space 0}{space 0}{ralign 12:instrument}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3212}}}{space 1}{space 1}{ralign 9:{res:{sf:     3212}}}{space 1}{space 1}{ralign 9:{res:{sf:  .317523}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.543421}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.242345}}}{space 1}{space 1}{ralign 9:{res:{sf: -.410086}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.381767}}}{space 1}{space 1}{ralign 9:{res:{sf: 1019.884}}}{space 1}
{space 0}{space 0}{ralign 12:post1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .2381696}}}{space 1}{space 1}{ralign 9:{res:{sf: .1564728}}}{space 1}{space 1}{ralign 9:{res:{sf: .3955665}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:   800.25}}}{space 1}
{space 0}{space 0}{ralign 12:treat2_10_~c}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3212}}}{space 1}{space 1}{ralign 9:{res:{sf:     3212}}}{space 1}{space 1}{ralign 9:{res:{sf:  .812069}}}{space 1}{space 1}{ralign 9:{res:{sf: .0288829}}}{space 1}{space 1}{ralign 9:{res:{sf: .1699498}}}{space 1}{space 1}{ralign 9:{res:{sf: .2681018}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 2608.366}}}{space 1}
{space 0}{space 0}{ralign 12:post_nondem}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1227}}}{space 1}{space 1}{ralign 9:{res:{sf:     1227}}}{space 1}{space 1}{ralign 9:{res:{sf: .1210269}}}{space 1}{space 1}{ralign 9:{res:{sf: .0762867}}}{space 1}{space 1}{ralign 9:{res:{sf: .2762005}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:    148.5}}}{space 1}
{space 0}{space 0}{ralign 12:post_dem}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2133}}}{space 1}{space 1}{ralign 9:{res:{sf:     2133}}}{space 1}{space 1}{ralign 9:{res:{sf: .3055556}}}{space 1}{space 1}{ralign 9:{res:{sf: .1902165}}}{space 1}{space 1}{ralign 9:{res:{sf: .4361382}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:   651.75}}}{space 1}

{com}. 
. esttab using "tables/summ_model.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_model.tex"'})

{com}. 
. 
. * Econ
. 
. global econ_vars economic_index employed assets basic_necessities no_food no_water no_healthcare no_fuel no_income owns_radio owns_tv owns_vehicle
{txt}
{com}. 
. label var economic_index "Economic index"
{txt}
{com}. label var employed "Employed"
{txt}
{com}. label var assets "Assets"
{txt}
{com}. label var basic_necessities "Basic necessities"
{txt}
{com}. label var no_food "No food"
{txt}
{com}. label var no_water "No water"
{txt}
{com}. label var no_healthcare "No healthcare"
{txt}
{com}. label var no_fuel "No fuel"
{txt}
{com}. label var no_income "No income"
{txt}
{com}. label var owns_radio "Owns radio"
{txt}
{com}. label var owns_tv "Owns TV"
{txt}
{com}. label var owns_vehicle "Owns vehicle"
{txt}
{com}. 
. estpost summ $econ_vars if birthyear >= 1970 & birthyear <= 1997

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:economic_i~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .3786434}}}{space 1}{space 1}{ralign 9:{res:{sf: .0595023}}}{space 1}{space 1}{ralign 9:{res:{sf:  .243931}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 1272.242}}}{space 1}
{space 0}{space 0}{ralign 12:employed}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3343}}}{space 1}{space 1}{ralign 9:{res:{sf:     3343}}}{space 1}{space 1}{ralign 9:{res:{sf: .2778941}}}{space 1}{space 1}{ralign 9:{res:{sf:  .200729}}}{space 1}{space 1}{ralign 9:{res:{sf: .4480279}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      929}}}{space 1}
{space 0}{space 0}{ralign 12:assets}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf:  .375748}}}{space 1}{space 1}{ralign 9:{res:{sf: .0884684}}}{space 1}{space 1}{ralign 9:{res:{sf: .2974363}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:   1067.5}}}{space 1}
{space 0}{space 0}{ralign 12:basic_nece~s}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:  .482882}}}{space 1}{space 1}{ralign 9:{res:{sf: .1066206}}}{space 1}{space 1}{ralign 9:{res:{sf: .3265281}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf: 1622.483}}}{space 1}
{space 0}{space 0}{ralign 12:no_food}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3353}}}{space 1}{space 1}{ralign 9:{res:{sf:     3353}}}{space 1}{space 1}{ralign 9:{res:{sf: .6322696}}}{space 1}{space 1}{ralign 9:{res:{sf: .2325741}}}{space 1}{space 1}{ralign 9:{res:{sf: .4822594}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2120}}}{space 1}
{space 0}{space 0}{ralign 12:no_water}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3356}}}{space 1}{space 1}{ralign 9:{res:{sf:     3356}}}{space 1}{space 1}{ralign 9:{res:{sf: .5804529}}}{space 1}{space 1}{ralign 9:{res:{sf: .2435999}}}{space 1}{space 1}{ralign 9:{res:{sf: .4935584}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1948}}}{space 1}
{space 0}{space 0}{ralign 12:no_healthc~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3350}}}{space 1}{space 1}{ralign 9:{res:{sf:     3350}}}{space 1}{space 1}{ralign 9:{res:{sf: .4895522}}}{space 1}{space 1}{ralign 9:{res:{sf: .2499655}}}{space 1}{space 1}{ralign 9:{res:{sf: .4999655}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1640}}}{space 1}
{space 0}{space 0}{ralign 12:no_fuel}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3344}}}{space 1}{space 1}{ralign 9:{res:{sf:     3344}}}{space 1}{space 1}{ralign 9:{res:{sf: .5376794}}}{space 1}{space 1}{ralign 9:{res:{sf: .2486546}}}{space 1}{space 1}{ralign 9:{res:{sf: .4986528}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1798}}}{space 1}
{space 0}{space 0}{ralign 12:no_income}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3335}}}{space 1}{space 1}{ralign 9:{res:{sf:     3335}}}{space 1}{space 1}{ralign 9:{res:{sf: .1712144}}}{space 1}{space 1}{ralign 9:{res:{sf: .1419426}}}{space 1}{space 1}{ralign 9:{res:{sf: .3767527}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      571}}}{space 1}
{space 0}{space 0}{ralign 12:owns_radio}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf: .6536431}}}{space 1}{space 1}{ralign 9:{res:{sf: .2264735}}}{space 1}{space 1}{ralign 9:{res:{sf: .4758923}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1857}}}{space 1}
{space 0}{space 0}{ralign 12:owns_tv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf:     2841}}}{space 1}{space 1}{ralign 9:{res:{sf: .3966913}}}{space 1}{space 1}{ralign 9:{res:{sf: .2394116}}}{space 1}{space 1}{ralign 9:{res:{sf:  .489297}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1127}}}{space 1}
{space 0}{space 0}{ralign 12:owns_vehicle}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2835}}}{space 1}{space 1}{ralign 9:{res:{sf:     2835}}}{space 1}{space 1}{ralign 9:{res:{sf: .0751323}}}{space 1}{space 1}{ralign 9:{res:{sf: .0695119}}}{space 1}{space 1}{ralign 9:{res:{sf: .2636512}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      213}}}{space 1}

{com}. esttab using "tables/summ_econ_vars.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_econ_vars.tex"'})

{com}. 
. 
. * Interest
. 
. global interest_vars information interest_pub_affairs_index discuss_pol_index news_scale radio tv newspaper
{txt}
{com}. 
. label var information "Interest index"
{txt}
{com}. label var interest_pub_affairs_index "Interest in public affairs"
{txt}
{com}. label var discuss_pol_index "Discuss politics"
{txt}
{com}. label var news_scale "News index"
{txt}
{com}. label var radio "News from radio"
{txt}
{com}. label var tv "News from TV"
{txt}
{com}. label var newspaper "News from newspaper"
{txt}
{com}. 
. estpost summ $interest_vars if birthyear >= 1970 & birthyear <= 1997

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:information}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.566964}}}{space 1}{space 1}{ralign 9:{res:{sf: .3667302}}}{space 1}{space 1}{ralign 9:{res:{sf: .6055825}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:      3.5}}}{space 1}{space 1}{ralign 9:{res:{sf:     5265}}}{space 1}
{space 0}{space 0}{ralign 12:interest_p~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3334}}}{space 1}{space 1}{ralign 9:{res:{sf:     3334}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.055189}}}{space 1}{space 1}{ralign 9:{res:{sf: .6990235}}}{space 1}{space 1}{ralign 9:{res:{sf: .8360762}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        2}}}{space 1}{space 1}{ralign 9:{res:{sf:     3518}}}{space 1}
{space 0}{space 0}{ralign 12:discuss_po~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3342}}}{space 1}{space 1}{ralign 9:{res:{sf:     3342}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.113405}}}{space 1}{space 1}{ralign 9:{res:{sf: .5327804}}}{space 1}{space 1}{ralign 9:{res:{sf: .7299181}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        2}}}{space 1}{space 1}{ralign 9:{res:{sf:     3721}}}{space 1}
{space 0}{space 0}{ralign 12:news_scale}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3359}}}{space 1}{space 1}{ralign 9:{res:{sf:     3359}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.526149}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.060323}}}{space 1}{space 1}{ralign 9:{res:{sf:  1.02972}}}{space 1}{space 1}{ralign 9:{res:{sf:      -.5}}}{space 1}{space 1}{ralign 9:{res:{sf:      6.5}}}{space 1}{space 1}{ralign 9:{res:{sf: 8485.333}}}{space 1}
{space 0}{space 0}{ralign 12:radio}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3353}}}{space 1}{space 1}{ralign 9:{res:{sf:     3353}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.330749}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.261993}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.123385}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:    11168}}}{space 1}
{space 0}{space 0}{ralign 12:tv}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3351}}}{space 1}{space 1}{ralign 9:{res:{sf:     3351}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.126231}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.751524}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.323451}}}{space 1}{space 1}{ralign 9:{res:{sf:       -1}}}{space 1}{space 1}{ralign 9:{res:{sf:        9}}}{space 1}{space 1}{ralign 9:{res:{sf:    10476}}}{space 1}
{space 0}{space 0}{ralign 12:newspaper}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3312}}}{space 1}{space 1}{ralign 9:{res:{sf:     3312}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.092995}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.356798}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.535187}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     3620}}}{space 1}

{com}. esttab using "tables/summ_interest_vars.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_interest_vars.tex"'})

{com}. 
. 
. * Participation
. 
. global participation_vars participation_index participate_index contact_index vote1 raise_issue_index contact_officials_index contact_LG_councilor_index contact_MP_index
{txt}
{com}. 
. label var participation_index "Participation index"
{txt}
{com}. label var participate_index "Participate index"
{txt}
{com}. label var contact_index "Contact index"
{txt}
{com}. label var vote1 "Voted in last election"
{txt}
{com}. label var raise_issue_index "Raise issue"
{txt}
{com}. label var contact_officials_index "Contact officials"
{txt}
{com}. label var contact_LG_councilor_index "Contact LG councilor"
{txt}
{com}. label var contact_MP_index "Contact MP"
{txt}
{com}. 
. 
. estpost summ $participation_vars if birthyear >= 1970 & birthyear <= 1997

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:part~n_index}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .7183532}}}{space 1}{space 1}{ralign 9:{res:{sf: .2510863}}}{space 1}{space 1}{ralign 9:{res:{sf: .5010851}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:     2.75}}}{space 1}{space 1}{ralign 9:{res:{sf: 2413.667}}}{space 1}
{space 0}{space 0}{ralign 12:part~e_index}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.240774}}}{space 1}{space 1}{ralign 9:{res:{sf:   .61483}}}{space 1}{space 1}{ralign 9:{res:{sf:  .784111}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     4169}}}{space 1}
{space 0}{space 0}{ralign 12:contact_in~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3348}}}{space 1}{space 1}{ralign 9:{res:{sf:     3348}}}{space 1}{space 1}{ralign 9:{res:{sf: .1926026}}}{space 1}{space 1}{ralign 9:{res:{sf: .2142045}}}{space 1}{space 1}{ralign 9:{res:{sf: .4628223}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf: 644.8333}}}{space 1}
{space 0}{space 0}{ralign 12:vote1}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3337}}}{space 1}{space 1}{ralign 9:{res:{sf:     3337}}}{space 1}{space 1}{ralign 9:{res:{sf: .5322146}}}{space 1}{space 1}{ralign 9:{res:{sf: .2490369}}}{space 1}{space 1}{ralign 9:{res:{sf: .4990359}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1776}}}{space 1}
{space 0}{space 0}{ralign 12:raise_issu~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3330}}}{space 1}{space 1}{ralign 9:{res:{sf:     3330}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.957357}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.915273}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.383934}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     6518}}}{space 1}
{space 0}{space 0}{ralign 12:contact_of~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf: .1264196}}}{space 1}{space 1}{ralign 9:{res:{sf: .2420103}}}{space 1}{space 1}{ralign 9:{res:{sf: .4919454}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:      423}}}{space 1}
{space 0}{space 0}{ralign 12:contact_LG~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3344}}}{space 1}{space 1}{ralign 9:{res:{sf:     3344}}}{space 1}{space 1}{ralign 9:{res:{sf: .3283493}}}{space 1}{space 1}{ralign 9:{res:{sf: .6387893}}}{space 1}{space 1}{ralign 9:{res:{sf: .7992429}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:     1098}}}{space 1}
{space 0}{space 0}{ralign 12:contact_MP~x}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3345}}}{space 1}{space 1}{ralign 9:{res:{sf:     3345}}}{space 1}{space 1}{ralign 9:{res:{sf: .1201794}}}{space 1}{space 1}{ralign 9:{res:{sf:  .231366}}}{space 1}{space 1}{ralign 9:{res:{sf: .4810052}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:      402}}}{space 1}

{com}. esttab using "tables/summ_participation_vars.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_participation_vars.tex"'})

{com}. 
. 
. * Democracy
. 
. global democracy_vars dem_gov dem_support dem_checks_on_pres dem_institutions ///
>         trust_courts trust_EC careful_say free_to_speak_mind free_to_join_pol_org free_vote_choice how_democratic satisfaction_democracy ///
>         rej_oneman_rule_index term_limits_index against_pres_discretion_index opp_parties_crit_index checks_balances_index ///
>         media_accountability_index against_oneparty_rule_index rej_mil_rule_index elec_choice_index newspaper_free_index against_gov_ban_org_index supports_democracy
{txt}
{com}. 
. label var dem_gov "Democratic quality index"
{txt}
{com}. label var dem_support "Democratic support index"
{txt}
{com}. label var dem_checks_on_pres "Checks on president"
{txt}
{com}. label var dem_institutions "Democratic institutions index"
{txt}
{com}. label var trust_courts "Trust courts"
{txt}
{com}. label var trust_EC "Trust election commission"
{txt}
{com}. label var careful_say "Careful to say"
{txt}
{com}. label var free_to_speak_mind "Free to speak mind"
{txt}
{com}. label var free_to_join_pol_org "Free to join political organization"
{txt}
{com}. label var free_vote_choice "Free vote choice"
{txt}
{com}. label var how_democratic "How democratic is Senegal"
{txt}
{com}. label var satisfaction_democracy "Satisfied with Senegal's democracy"
{txt}
{com}. label var rej_oneman_rule_index "Reject one man rule"
{txt}
{com}. label var term_limits_index "Term limits"
{txt}
{com}. label var against_pres_discretion_index "Against presidential discretion"
{txt}
{com}. label var opp_parties_crit_index "Opposition criticizes"
{txt}
{com}. label var checks_balances_index "Checks and balances"
{txt}
{com}. label var media_accountability_index "Media accountability"
{txt}
{com}. label var against_oneparty_rule_index "Against one party rule"
{txt}
{com}. label var rej_mil_rule_index "Reject military rule"
{txt}
{com}. label var elec_choice_index "Free choice of leaders through elections"
{txt}
{com}. label var newspaper_free_index "Freedom of media"
{txt}
{com}. label var against_gov_ban_org_index "Against government ban of organizations"
{txt}
{com}. label var supports_democracy "Supports democracy"
{txt}
{com}. 
. estpost summ $democracy_vars if birthyear >= 1970 & birthyear <= 1997

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{com}. esttab using "tables/summ_democracy_vars.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_democracy_vars.tex"'})

{com}. 
. 
. * Corruption and performance
. 
. global governance_vars corruption performance_index corruption_president corruption_government_officials corruption_MP corruption_LG_councilors handles_economy handles_employment handles_inflation handles_inequality handles_health handles_education handles_water loc_gov_handles_roads loc_gov_handles_clean loc_gov_handles_markets loc_gov_handles_health loc_gov_handles_fees
{txt}
{com}. 
. label var corruption "Corruption index"
{txt}
{com}. label var performance_index "Government performance index"
{txt}
{com}. 
. estpost summ $governance_vars if birthyear >= 1970 & birthyear <= 1997

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
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{space 0}{space 0}{ralign 12:loc_gov_h~ts}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2014}}}{space 1}{space 1}{ralign 9:{res:{sf:     2014}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.039225}}}{space 1}{space 1}{ralign 9:{res:{sf: .8355197}}}{space 1}{space 1}{ralign 9:{res:{sf: .9140677}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:     2093}}}{space 1}
{space 0}{space 0}{ralign 12:loc_gov_ha~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1120}}}{space 1}{space 1}{ralign 9:{res:{sf:     1120}}}{space 1}{space 1}{ralign 9:{res:{sf:   1.0625}}}{space 1}{space 1}{ralign 9:{res:{sf: .7896559}}}{space 1}{space 1}{ralign 9:{res:{sf: .8886259}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:     1190}}}{space 1}
{space 0}{space 0}{ralign 12:loc_gov_h~es}{space 1}{c |}{space 1}{ralign 9:{res:{sf:      284}}}{space 1}{space 1}{ralign 9:{res:{sf:      284}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.514085}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.070472}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.034636}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        3}}}{space 1}{space 1}{ralign 9:{res:{sf:      430}}}{space 1}

{com}. esttab using "tables/summ_governance_vars.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_governance_vars.tex"'})

{com}. 
. * Placebo, balance, etc
. 
. global checks wolof toucpeul serer bambara soninke diola others male urbrur2 age christian muslim *_lang
{txt}
{com}. 
. label var wolof "Wolof"
{txt}
{com}. label var toucpeul "Toucouleur/Peul"
{txt}
{com}. label var serer "Serer"
{txt}
{com}. label var bambara "Bambara"
{txt}
{com}. label var soninke "Soninke"
{txt}
{com}. label var diola "Diola"
{txt}
{com}. label var others "Other ethnicities"
{txt}
{com}. label var male "Male"
{txt}
{com}. label var urbrur2 "Rural"
{txt}
{com}. label var age "Age of respondent"
{txt}
{com}. label var christian "Christian"
{txt}
{com}. label var muslim "Muslim"
{txt}
{com}. label var wolof_lang "Wolof (language)"
{txt}
{com}. label var toucpeul_lang "Toucouleur/Peul (language)"
{txt}
{com}. label var serer_lang "Serer (language)"
{txt}
{com}. label var mand_lang "Mandinka (language)"
{txt}
{com}. 
. estpost summ $checks if birthyear >= 1970 & birthyear <= 1997

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{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:wolof}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .4766917}}}{space 1}{space 1}{ralign 9:{res:{sf: .2495318}}}{space 1}{space 1}{ralign 9:{res:{sf: .4995316}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1585}}}{space 1}
{space 0}{space 0}{ralign 12:toucpeul}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .2087218}}}{space 1}{space 1}{ralign 9:{res:{sf: .1652067}}}{space 1}{space 1}{ralign 9:{res:{sf: .4064563}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      694}}}{space 1}
{space 0}{space 0}{ralign 12:serer}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:  .115188}}}{space 1}{space 1}{ralign 9:{res:{sf: .1019504}}}{space 1}{space 1}{ralign 9:{res:{sf: .3192967}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      383}}}{space 1}
{space 0}{space 0}{ralign 12:bambara}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .0697744}}}{space 1}{space 1}{ralign 9:{res:{sf: .0649255}}}{space 1}{space 1}{ralign 9:{res:{sf: .2548048}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      232}}}{space 1}
{space 0}{space 0}{ralign 12:soninke}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .0120301}}}{space 1}{space 1}{ralign 9:{res:{sf: .0118889}}}{space 1}{space 1}{ralign 9:{res:{sf: .1090364}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       40}}}{space 1}
{space 0}{space 0}{ralign 12:diola}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .0478195}}}{space 1}{space 1}{ralign 9:{res:{sf: .0455465}}}{space 1}{space 1}{ralign 9:{res:{sf: .2134163}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      159}}}{space 1}
{space 0}{space 0}{ralign 12:others}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf:     3325}}}{space 1}{space 1}{ralign 9:{res:{sf: .0255639}}}{space 1}{space 1}{ralign 9:{res:{sf: .0249179}}}{space 1}{space 1}{ralign 9:{res:{sf:  .157854}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       85}}}{space 1}
{space 0}{space 0}{ralign 12:male}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .4372024}}}{space 1}{space 1}{ralign 9:{res:{sf: .2461297}}}{space 1}{space 1}{ralign 9:{res:{sf: .4961146}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1469}}}{space 1}
{space 0}{space 0}{ralign 12:urbrur2}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .5080357}}}{space 1}{space 1}{ralign 9:{res:{sf: .2500098}}}{space 1}{space 1}{ralign 9:{res:{sf: .5000098}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1707}}}{space 1}
{space 0}{space 0}{ralign 12:age}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: 27.74911}}}{space 1}{space 1}{ralign 9:{res:{sf: 45.67059}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.758002}}}{space 1}{space 1}{ralign 9:{res:{sf:       18}}}{space 1}{space 1}{ralign 9:{res:{sf:       44}}}{space 1}{space 1}{ralign 9:{res:{sf:    93237}}}{space 1}
{space 0}{space 0}{ralign 12:christian}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf: .0442319}}}{space 1}{space 1}{ralign 9:{res:{sf: .0422881}}}{space 1}{space 1}{ralign 9:{res:{sf: .2056407}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      148}}}{space 1}
{space 0}{space 0}{ralign 12:muslim}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf:     3346}}}{space 1}{space 1}{ralign 9:{res:{sf: .9512851}}}{space 1}{space 1}{ralign 9:{res:{sf: .0463556}}}{space 1}{space 1}{ralign 9:{res:{sf: .2153035}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     3183}}}{space 1}
{space 0}{space 0}{ralign 12:wolof_lang}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:    .6125}}}{space 1}{space 1}{ralign 9:{res:{sf: .2374144}}}{space 1}{space 1}{ralign 9:{res:{sf: .4872519}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2058}}}{space 1}
{space 0}{space 0}{ralign 12:toucpeul_l~g}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .1770833}}}{space 1}{space 1}{ralign 9:{res:{sf: .1457682}}}{space 1}{space 1}{ralign 9:{res:{sf:  .381796}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      595}}}{space 1}
{space 0}{space 0}{ralign 12:serer_lang}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf: .0630952}}}{space 1}{space 1}{ralign 9:{res:{sf: .0591318}}}{space 1}{space 1}{ralign 9:{res:{sf: .2431704}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      212}}}{space 1}
{space 0}{space 0}{ralign 12:mand_lang}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:     3360}}}{space 1}{space 1}{ralign 9:{res:{sf:      .05}}}{space 1}{space 1}{ralign 9:{res:{sf: .0475141}}}{space 1}{space 1}{ralign 9:{res:{sf: .2179774}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      168}}}{space 1}

{com}. esttab using "tables/summ_checks.tex", replace booktabs cells("count mean(fmt(3)) sd(fmt(3)) min max") label nomtitle noobs nonumber
{res}{txt}(output written to {browse  `"tables/summ_checks.tex"'})

{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/shelley/Dropbox/Projects/Senegal/Senegal Nigeria Education and Leaders/Senegal Replication Files/do files/0_summary statistics.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 6 Jul 2023, 12:28:07
{txt}{.-}
{smcl}
{txt}{sf}{ul off}